3) Fundamentals of Vectors
Fundamentals of Vectors
1. Definition of a Vector
A vector is a mathematical object that has both magnitude (size/length) and direction. They allow us to describe relationships and movements in ways scalars cannot.
Real-World Examples:
- Velocity: Speed with direction (e.g., 60 km/h east).
- Force: A push or pull applied in a direction.
- Electric Fields: Represented as vectors at every point in space.
2. Notation of Vectors
Vectors can be represented in different forms:
- Column Form: \mathbf{v} = \begin{bmatrix} v_1 \\ v_2 \end{bmatrix}
- Unit Vector Notation: \mathbf{v} = v_1 \mathbf{i} + v_2 \mathbf{j} + v_3 \mathbf{k}
- Graphical Representation: Drawn as an arrow in a coordinate plane.
3. Types of Vectors
- Zero Vector: A vector with no magnitude or direction.
- Unit Vector: A vector with a magnitude of 1, representing direction only.
- Equal Vectors: Same magnitude and direction, even if placed differently.
- Parallel Vectors: Scalar multiples of each other.
4. Vector Operations
- Addition: Component-wise sum of two vectors.
- Scalar Multiplication: Scaling a vector’s magnitude.
- Subtraction: Equivalent to adding a negative vector.
5. Linear Combinations and Span
A vector can be formed as a weighted sum of others:
c1 * v1 + c2 * v2 + ... + cn * vn
In 2D, two non-parallel vectors can generate the entire plane.
6. Linear Independence and Basis Vectors
- Independent Vectors: None can be expressed as a combination of others.
- Dependent Vectors: At least one is a redundant combination.
- Basis Vectors: The minimal set needed to describe a space.
7. Magnitude (Norm) of a Vector
The length of a vector is given by:
|v| = sqrt(v1² + v2² + ... + vn²)
8. Dot Product
Measures similarity between two vectors:
a · b = |a| |b| cos(θ)
9. Cross Product (3D Only)
Produces a perpendicular vector to both inputs:
a × b = determinant of 3x3 matrix
10. Vector Projections
Decomposes one vector along another’s direction:
proj_b a = (a · b) / |b|² * b
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